Seasonal and Perennial Allergic Conjunctivitis
Bibliographic record
Abstract
Seasonal and perennial allergic conjunctivitis are IgE-mediated, hypersensitivity conditions characterized by ocular pruritus, epiphora, and hyperemia. Proper diagnosis is usually made clinically based on history and physical examination. Diagnostic procedures are rarely necessary. Non-pharmacological measures, such as environmental modification and proper eye care, should be considered for all patients with allergic conjunctivitis. Pharmacological interventions may also be required. Milder cases can be treated with short-term topical ophthalmic therapy such as a decongestant/ antihistamine combination, a mast cell stabilizer, or a multi-action agent. Moderate to severe cases may require longer usage of the above agents and/or the addition of an oral antihistamine. Refractory cases may necessitate the use of topical ophthalmic corticosteroids and topical NSAIDs. Immunotherapy, whether via the subcutaneous route or the intranasal route, should be considered in the treatment of persistent severe cases refractory to conventional treatment. Despite all the available therapeutic agents, there continues to be a constant need to discover more effective ways to treat seasonal and perennial allergic conjunctivitis. This article also discusses recent patents related to the field.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.004 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".